Chongyu Liu

Orcid: 0000-0003-2516-926X

According to our database1, Chongyu Liu authored at least 25 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2025
QT-TextSR: Enhancing scene text image super-resolution via efficient interaction with text recognition using a Query-aware Transformer.
Neurocomputing, 2025

2024
Touchformer: A Transformer-Based Two-Tower Architecture for Tactile Temporal Signal Classification.
IEEE Trans. Haptics, 2024

Predicting the Original Appearance of Damaged Historical Documents.
CoRR, 2024

Datasets for Large Language Models: A Comprehensive Survey.
CoRR, 2024

SwinTextSpotter v2: Towards Better Synergy for Scene Text Spotting.
CoRR, 2024

UPOCR: Towards Unified Pixel-Level OCR Interface.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RISC: Boosting High-quality Referring Image Segmentation via Foundation Model CLIP.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

DTSM: Toward Dense Table Structure Recognition with Text Query Encoder and Adjacent Feature Aggregator.
Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation.
CoRR, 2023

M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DTDT: Highly Accurate Dense Text Line Detection in Historical Documents via Dynamic Transformer.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

HisDoc R-CNN: Robust Chinese Historical Document Text Line Detection with Dynamic Rotational Proposal Network and Iterative Attention Head.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

EnsExam: A Dataset for Handwritten Text Erasure on Examination Papers.
Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Revisiting Scene Text Recognition: A Data Perspective.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
ABCNet v2: Adaptive Bezier-Curve Network for Real-Time End-to-End Text Spotting.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Don't Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Context.
Proceedings of the Computer Vision - ECCV 2022, 2022

SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Model-Free Tracker for Multiple Objects Using Joint Appearance and Motion Inference.
IEEE Trans. Image Process., 2020

EraseNet: End-to-End Text Removal in the Wild.
IEEE Trans. Image Process., 2020

2017
Multi-Object Model-Free Tracking with Joint Appearance and Motion Inference.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017


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